Listed on Warner Bros. Discovery’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Warner Bros. Discovery is seeking a highly experienced Data Scientist to serve as a top-level individual contributor, architecting and delivering enterprise-scale AI and machine learning systems that power content intelligence, personalization, forecasting, and monetization across the company's streaming and advertising platforms. This role suits a seasoned technologist with 15+ years in the field who wants to drive technical direction and solve complex business problems without formal management responsibilities.
Our summary, not Warner Bros. Discovery’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Computer Vision
- Feature Engineering
- Generative AI
- Machine Learning
- MLOps
- Python
- PyTorch
- Snowflake
- SQL
- Statistical Modeling
- TensorFlow
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What they ask for
Required
- Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or Operations Research
- 18–20 years of total professional experience
- 13–15 years of hands-on Data Science/ML experience
- Deep expertise in predictive modeling, optimization, and advanced ML techniques
- Experience with MLOps and large-scale model deployment
- Proficiency in Python, PyTorch, TensorFlow, and SQL
- Strong experiment design and statistical modeling skills
- Experience with modern cloud ecosystems (AWS, GCP, or Snowflake)
- Track record delivering enterprise-impact AI solutions
- Ability to communicate complex concepts to executives and technical teams
Nice to have
- Experience developing or customizing Large Language Models or multimodal foundation models
- Patent, publication, or conference presentations in ML/AI
- Experience with video intelligence or computer vision for media workflows
- Experience with content metadata systems
- Background in Media & Entertainment, streaming, or digital advertising
- Experience partnering with product and engineering teams in fast-paced environments